Municipal solid waste as a sustainable resource for energy production: State-of-the-art review

AV Shah, VK Srivastava, SS Mohanty… - Journal of Environmental …, 2021 - Elsevier
Solid waste treatment and disposal is a global challenge for the development of a
sustainable society. The problem has been exacerbated by a rise in waste products as a …

Computer vision for solid waste sorting: A critical review of academic research

W Lu, J Chen - Waste Management, 2022 - Elsevier
Waste sorting is highly recommended for municipal solid waste (MSW) management.
Increasingly, computer vision (CV), robotics, and other smart technologies are used for MSW …

Leveraging digital technologies for circular economy in construction industry: a way forward

N Rodrigo, H Omrany, R Chang, J Zuo - Smart and Sustainable Built …, 2024 - emerald.com
Purpose This study aims to investigate the literature related to the use of digital technologies
for promoting circular economy (CE) in the construction industry. Design/methodology …

A multi-label waste detection model based on transfer learning

Q Zhang, Q Yang, X Zhang, W Wei, Q Bao, J Su… - Resources, Conservation …, 2022 - Elsevier
Accurate and efficient treatment of domestic waste is an important part of urban
management. Whether domestic waste can be classified effectively will affect the …

Revolutionizing municipal solid waste management (MSWM) with machine learning as a clean resource: Opportunities, challenges and solutions

MT Munir, B Li, M Naqvi - Fuel, 2023 - Elsevier
Effective municipal solid waste management is essential for public health, environmental
protection, economic benefits, and clean energy generation for future commercial …

[HTML][HTML] Smart waste management and classification systems using cutting edge approach

SM Cheema, A Hannan, IM Pires - Sustainability, 2022 - mdpi.com
With a rapid increase in population, many problems arise in relation to waste dumps. These
emits hazardous gases, which have negative effects on human health. The main issue is the …

A deep convolutional neural network to simultaneously localize and recognize waste types in images

S Liang, Y Gu - Waste Management, 2021 - Elsevier
Accurate waste classification is key to successful waste management. However, most
current studies have focused exclusively on single-label waste classification from images …

Computer vision to recognize construction waste compositions: A novel boundary-aware transformer (BAT) model

Z Dong, J Chen, W Lu - Journal of environmental management, 2022 - Elsevier
Recognition of construction waste compositions using computer vision (CV) is increasingly
explored to enable its subsequent management, eg, determining chargeable levy at …

A combination model based on transfer learning for waste classification

GL Huang, J He, Z Xu, G Huang - … and Computation: Practice …, 2020 - Wiley Online Library
The increasing amount of solid waste is becoming a significant problem that needs to be
addressed urgently. The reliable and accurate classification method is a crucial step in …

[HTML][HTML] An intelligent waste management application using IoT and a genetic algorithm–fuzzy inference system

S Thaseen Ikram, V Mohanraj, S Ramachandran… - Applied Sciences, 2023 - mdpi.com
The Internet of Things (IoT) is being used to create new applications for smart cities. Waste
management is one issue that requires various IoT components for assistance, such as …